I always believed that AI can get everything right from the first time with the right prompt. In this video, I showed how writing a detailed prompt and allowing Claude to self-test every feature in the app and fix any issues that it finds, and repeat this loop until everything checks, can automate 95% of your work. It's not guaranteed that you will get an app that is 100% free of bugs, but it will be at least 90 or 95% done. I have created a free Claude skill that you can download and use in Claude. It will take your idea and give you a detailed prompt, or if you have an existing prompt and are looking to enhance it, it will do that as well. You can find the skill along with the prompt used in the video and the actual built project as well, if you wanna try it out in the link below. https://github.com/NaderTate/notion-one-prompt

We can all agree that AI can create amazing websites and apps, but sometimes it's lazy. You ask Claude for a simple website, and after it's done, you get a website with purple gradient colors like any other AI-generated website out there, UX issues, and core functionalities that are not working proberly and many more issues, and you have to get back to Claude and tell it to fix all these issues. And still, you won't be able to spot all the issues like SEO, Security, accessibility, and so on. For that, I have created a simple yet effective tool for that. A team of 25 Agents, each agent is responsible for 1 thing only, and is an expert at it. SEO agent, backend security agent, testing agent, UI and UX reviewers, and so much more. Each agent will put all its effort into reviewing that one thing and make a detailed report with all the issues that it found. For example, the security agent will try to hack all the endpoints, bypass authentication, inject payloads into the requests, do XSS attacks, and so on. It then gives that report to the main orchestrator, which reads that report and takes the necessary actions and code changes. The orchestrator will review all the reports, fix the issues, and then run the review agents again. This loop continues until all the review agents report that the website is ready for release. I tested this on a simple Landing page with a contact form that I had created, and it already found many security issues and bugs that I didn't think of, and it was just a 1-page landing page. Imagine if that were a full dashboard. You can see that in action in the video below, and the code for that is available for free in the video description.

I just created a new video explaining how you can start building your AI operating system. AIOS is a big thing and very flexible, it doesn't have a fixed structure, you design it however you want and let it do whatever you want. In this video I demonestrated a simple AIOS for an AI/software agency which I think many of you would relate to. This system is capable of: . Seeing all you clients from hubspot, projects, team members, meetings, github repos and invoices . Sendig emails, and scheduling meetings. . Creating Clickup tasks automatically based on what was discussed in a meeting. I also showed how you can easily connect this to Telegram in 1 min so you can work from your phone anywhere. This is just a simple system that you can download (link in video description) and you can build on it or modify it however you want. Happy to hear what you think.

Here's what I built. A Voice agent for a vet clinic that can: . Scan the upcoming pet vaccinations and schedule a phone call to the pet owner 1 day before the vaccination date. . If the first call fails (the customer doesn't pick up), another call will be scheduled after 1 hour. . If the second call fails as well, an sms will be sent immediately. . During the call, the agent will book an appointment and store it in the DB. . Everything was taken into consideration, like making sure the appointment date doesn't conflict with other appointments and that it's within the clinic's working hours. Let me know if you find that useful, and if you want me to make a tutorial on something specific, I would appreciate all the feedback. The GitHub link is in the video description.

Hi everyone, I've decided that I'll go all in on making YouTube tutorials and just uploaded my first video. I believe I have a lot of experience to share and can help many people, as I have over 6 years of professional experience in the space and have been working on AI agents for about 2 years now. I'm more comfortable with coding and making custom solutions, which I think not many people are doing now. Everyone is going for no-code solutions, but being able to combine both unlocks new potential for more customizable solutions like the one I shared in this video, where I built a custom voice agent that uses a personalized welcome message and prompt based on the data of the number calling. Would appreciate your feedback, and sorry if the quality isn't great. It's my first video, and I'll try to enhance it as much as I can in the upcoming videos. Also, let me know if there's a specific topic or project that you would like to see a tutorial about.